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X01D
/
6DRepNET-RepVGGA0

Image Classification
Transformers
Safetensors
English
model_hub_mixin
pytorch_model_hub_mixin
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use X01D/6DRepNET-RepVGGA0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use X01D/6DRepNET-RepVGGA0 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="X01D/6DRepNET-RepVGGA0")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("X01D/6DRepNET-RepVGGA0", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
6DRepNET-RepVGGA0
28.2 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
X01D's picture
X01D
Update README.md
fe6c7bc verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    775 Bytes
    Update README.md almost 2 years ago
  • config.json
    98 Bytes
    Push model using huggingface_hub. almost 2 years ago
  • model.safetensors
    28.1 MB
    xet
    Push model using huggingface_hub. almost 2 years ago